No shit. Senior devs have been saying this the whole time. AI, in its current form, for developers, is like handing a spatula to a gourmet chef. Yes it is useful to an extremely small degree, but that’s it…for now.
A convoluted spatula that sometimes accidentally cuts what your cooking im half instead of flipping it and consumes as much power as the entirety of Japan.
It’s when you only have a pot and your fingers that a spatula is awesome. I could never bother finish learning C and its awkward syntax. Even though I know how to code in some other language, I just couldn’t write much C at all and it was painful and slow. And too much time passed between attempts that I forgot most of it in between. Now I can easily make simple C apps, I just explain the underlying logic, with example of how I would do it in my preferred language and piece by piece it quickly comes together and I don’t have to remember if the for loop needs brackets of parenthesis or brackets nor if the line terminator is colon or semi colon.
The problem is that you’re still not learning, then. Maybe that’s your goal, and if so, no worries, but AI is currently a hammer that everyone seems to be falling over themselves finding nails for.
All I can do is sigh and shake my head. This bubble will burst, and AI will still take decades to get to the point people think it is already at.
Au contraire, not only you quickly learn the grab bag of strategy and tricks of the “average programmers” and their default solutions, you no longer get bogged down in the menial wrangling of compiler syntax.
That is IF you actually read, debug and implement this code as part of a larger system.
Of course if it “just works” and you don’t read how it works then you just get a working tool, but don’t really learn how it works inside. Kind of like those people who just drive cars but never did replace their crank bearings and transmission clutch packs
If you do interact with the code I think it will quickly elevate a newbie to a mediocre but capable programmer. Progressing beyond that is like stepping out and walking after driving for days.
Good devs gain little.
I gain a lot.
Just beware, sometimes the AI suggestions are scary good, some times they’re batshit crazy.
Just because AI suggests it, doesn’t mean it’s something you should use or learn from.
Its basically a template generator, which is really helpful when you’re generating boilerplate. It doesn’t save me much if any time to refactor/fill in that template, but it does save some mental fatigue that I can then spend on much more interesting problems.
It’s a niche tool, but occasionally quite handy. Without leaps forward technically though, it’s never going to become more than that.
Feel the same way!
I partly disagree, complex algorithms are indeed a no, but for learning a new language it is awesome.
Currently learning Rust and although it cannot solve everything, it does guide you with suggestions and usable code fragments.
Highly recommended.
Is there anything it provided you so far that was better than the guidance from the Rust compiler errors themselves? Every error ends with “run this command for a tutorial on why this error happened and how to fix it” type of info. A lot of times the error will directly tell you how to fix it too.
I agree, although some messages are still cryptic for a newbie like me, but thats maybe more the person on the chair than the compiler 😇.
I’d estimate copilot to be correct in only 10% of the time, solving a situation like that. Most of the time the solution suggested is also wrong, but just differently.
Having said that: sometimes (small chance, 1% maybe) the solution is spot on.
AI mainly helps with the initial syntax and on language constructs and for that it is awesome.
Currently learning Rust and although it cannot solve everything, it does guide you with suggestions and usable code fragments.
as does the compiler and the rust book
It’s great as essentially a StackOverflow that I can talk to in real time. But as with SO, I’ve still got to figure out what pieces are legit and where they go.
AI search results made stack overflow answers harder to find now lol
It’s definitely exploded but content farms were a problem even before 2022. There’s a reason google results starting with “reddit” / “stack overflow” were trending so hard.
The writer has a clear bias and a lack of a technical background (writing for Techies.com doesn’t count) .
You don’t have to look hard to find devs saving time and learning something with AI coding assistants. There are plenty of them in this thread. This is just an opinion piece by someone who read a single study.
if you are already competent and you are aware that it doesn’t necessarily give you correct information, the it is really helpful. I know enough to sense when it is making shit up. Also it is, for some scenarios, faster and easier then looking at a documentation. I like it personally. But it will not replace competent developers anytime soon.
This opinion is a breath of fresh air compared to the rest of tech journalism screaming “AI software engineer” after each new model release.
While I am not fond of AI, we do have access to it at work and I must admit that it saves some time in some cases. I’m not a developer with decades of experience in a single language, so something I am using AI to is asking “Is it possible to do a one-liner in language X where it does Y?” It works very well and the code is rarely unusable, but it is still up to my judgement whether the AI came up with a clever use of functions that I didn’t know about or whether it crammed stuff into a single unreadable line.
Every now and then, GitHub Copilot saves me a few seconds suggesting some very basic solution that I am usually in the midst of creating. Is it worth the investment? No, at least not yet. It hasn’t once “beaten” me or offered an improved solution. It (more frequently than not) requires the developer to understand and modify what it proposes for its suggestions to be useful. Is is a useful tool? Sure, just not worth the price yet, and obviously not perfect. But, where I’m working is testing it out, so I’ll keep utilizing it.
I’m a penetration tester and it increases my productivity a lot
I mainly use AI for learning new things. It’s amazing at trivial tasks.
Penetration tester, huh? Sounds like a fun and reproductive job.
But it can be very HARD sometimes
so it’s a vector of attack?
It introduced me to the basics of C# in a way that traditional googling at my previous level of knowledge would’ve made difficult.
I knew what I wanted to do and I didn’t know what was possible or how to ask without my question being closed as a duplicate with a link to an unhelpful post.
In that regard, it’s very helpful. If I had already known the language well enough, I can see it being less helpful.
I learned bash thanks to AI!
For years, all I did was copy and paste bash commands. And I didn’t understand arguments, how to chain things, or how it connects.
You do realize that a very thorough manual is but a
man bashaway? Perhaps it’s not the most accessible source available, but it makes up for that in completeness.I believe accessibility is the part that makes LLMs helpful, when they are given an easy enough task to verify. Being able to ask a thing that resembles a human what you need instead of reading through possibly a textbook worth of documentation to figure out what is available and making it fit what you need is fairly powerful.
If it were actually capable of reasoning, I’d compare it to asking a linguist the origin of a word vs looking it up in a dictionary. I don’t think anyone disagrees that the dictionary would be more likely to be fully accurate, and also I personally would just prefer to ask the person who seemingly knows and, if I have reason to doubt, then go back and double-check.
Here’s the manpage for bash’s statistics from wordcounter.net:
Perhaps LLMs can be used to gain some working vocabulary in a subject you aren’t familiar with. I’d say anything more than that is a gamble, since there’s no guarantee that hallucinations have not taken place. Remember, that to spot incorrect info, you need to already be well acquainted with the matter at hand, which is at the polar opposite of just starting to learn the basics.
Great for Coding 101 in a language I’m rusty with or otherwise unfamiliar.
Absolutely useless when it comes time to optimize a complex series of functions or upgrade to a new version of the .NET library. All the “AI” you need is typically baked into Intellisense or some equivalent anyway. We’ve had code-assist/advice features for over a decade and its always been mid. All that’s changed is the branding.
This is what I’ve used it for and it’s helped me learn, especially because it makes mistakes and I have to get them to work. In my case it was with Terraform and Ansible.
What about just reading the documentation?
Even with amazing documentation, it can be hard to find the thing you’re looking for if you don’t know the right phrasing or terminology yet. It’s easily the most usable thing I’ve seen come out of “AI”, which makes sense. Using a Language Model to parse language is a very literal application.
The person I replied to was talking about learning the basics of a language… This isn’t about searching for something specific, this is about reading the very basic introduction to a language before trying to Google your way through it. Avoiding the basic documentation is always a bad idea. Replacing it with the LLMed version of the original documentation probably even more so.
Generative AI is great for loads of programming tasks like helping create regular expressions or syntax conversions between languages. The main issue I’ve seen in codebases that rely heavily on generative AI is that the “solutions” often fix today’s bug while making future debugging more difficult. Generative AI makes it easy to go fast in the wrong direction. Used right it’s a useful tool.
I use it occasionally. Recently I used it to convert a written specification in a document to a java object. And it was like 95% correct - but having to manually double check everything and fix the errors eliminated much of the time savings.
However that’s a very ideal use case. Most often I forget it exists.
I use it a fair bit. Mind, it’s something like formating a giant json stdout into something I want to read…
I also do find it’s useful for sketching out an outline In pseudo code.
I truly don’t understand the tendency of people to hate these kinds of tools. Honestly seems like an ego thing to me.
Typical lack of nuance on the Internet, sadly. Everything has to be Bad or Good. Black or White. AI is either The best thing ever™ or The worst thing ever™. No room for anything in between. Considering negative news generates more clicks, you can see why the media tend to take the latter approach.
I also think much of the hate is just people jumping on the AI = bad band-wagon. Does it have issues? Absolutely. Is it perfect? Far from it. But the constant negativity has gotten tired. There’s a lot of fascinating discussion to be had around AI, especially in the art world, but God forbid you suggest it’s anything but responsible for the total collapse of civilisation as we know it…
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Oh for sure. How we regulate AI (including how we power it) is really important, definitely.
cooking of all lifeforms on planet Earth
the core of the beef
yum lifeform beef stew
I think you nailed it with everything you just said.
Its really weird.
I want to believe people arent this dumb but i also dont want to be crazy for suggesting such nonsensical sentiment is manufactured. Such is life in the disinformation age.
Like what are we going to do, tell all Countries and fraudsters to stop using ai because it turns out its too much of a hassle?
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You are speaking for everyone so right away i dont see this as an actual conversion, but a decree of fact by someone i know nothing about.
What are you saying is an important reminder? This article?
By constant activism, do you mean anything that occurs outside of lemmy comments?
Why would we not take LLMs seriously?
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Theres no particular fuck up mentioned by this article.
The company that conducted the study which this article speculates on said these tools are getting rapidly better and that they arent suggesting to ban ai development assistants.
Also as quoted in the article, the use of these coding assistance is a process in and of itself. If you arent using ai carefully and iteratively then you wont get good results with current models. How we interact with models is as important as the model’s capability. The article quotes that if models are used well, a coder can be faster by 2x or 3x. Not sure about that personally… seems optimistic depending on whats being developed.
It seems like a good discussion with no obvious conclusion given the infancy of the tech. Yet the article headline and accompanying image suggest its wreaking havoc.
Reduction of complexity in this topic serves nobody. We should have the patience and impartiality to watch it develop and form opinions independently from commeter and headline sentiment. Groupthink has been paricularly dumb on this topic from what ive seen.
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I sent a PR back to a Dev five times before I gave the work to someone else.
they used AI to generate everything.
surprise, there were so many problems it broke the whole stack.
this is a routine thing this one dev does too. every PR has to be tossed back at least once. not expecting perfection, but I do expect it to not break the whole app.
Like I told another person ITT, hiring terrible devs isn’t something you can blame on software.
that depends on your definition of what a “terrible dev” is.
of the three devs that I know have used AI, all we’re moderately acceptable devs before they relied on AI. this formed my opinion that AI code and the devs that use it are terrible.
two of those three I no longer work with because they were let go for quality and productivity issues.
so you can clearly see why my opinion of AI code is so low.
I would argue that it’s obvious if someone doesn’t know how to use a tool to do their job, they aren’t great at their job to begin with.
Your argument is to blame the tool and excuse the person who is awful with the tool.
my argument is that lazy devs use the tool because that’s what it was designed for.
just calling a hammer a hammer.
Some tools deserve blame. In the case of this, you’re supposed to use it to automate away certain things but that automation isn’t really reliable. If it has to be babysat to the extent that I certainly would argue that it does, then it deserves some blame for being a crappy tool.
If, for instance, getter and setter generating or refactor tools in IDEs routinely screwed up in the same ways, people would say that the tools were broken and that people shouldn’t use them. I don’t get how this is different just because of “AI”.
Okay, so if the tool seems counterproductive for you, it’s very assuming to generalize that and assume it’s the same for everyone else too. I definitely do not have that experience.
Using a tool to speed up your work is not lazy. Using a tool stupidly is stupid. Anyone who thinks these tools are meant to replace humans using logic is misunderstanding them entirely.
You remind me of some of my coworkers who would rather do the same mind numbing task for hours every day rather than write a script that handles it. I judge them for thinking working smarter is “lazy” and I think it’s a fair judgement. I see them as the lazy ones. They’d rather not think more deeply about the scripting aspect because it’s hard. They rather zone out and mindlessly click, copy/paste, etc. I’d rather analyze and break down the problem so I can solve it once and then move onto something more interesting to solve.
sometimes working smarter is actually putting the work in so you don’t have to waste time and stress about if it’s going to work or not.
I get Dreamweaver vibes from AI generated code. Sure, the website works. looks exactly the way it should. works exactly how it should. that HTML source though… fucking aweful.
I can agree, AI is an augment to the tools you can use. however, it’s being marketed as a replacement and a large variety of devs are using it as such.
shitty devs are enabled by shitty tools.
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Having to deal with pull requests defecated by “developers” who blindly copy code from chatgpt is a particularly annoying and depressing waste of time.
At least back when they blindly copied code from stack overflow they had to read through the answers and comments and try to figure out which one fit their use case better and why, and maybe learn something… now they just assume the LLM is right (despite the fact that they asked the wrong question and even if they had asked the right one it’d’ve given the wrong answer) and call it a day; no brain activity or learning whatsoever.
That is not a problem with the ai software, that’s a problem with hiring morons who have zero experience.
No. LLMs are very good at scamming people into believing they’re giving correct answers. It’s practically the only thing they’re any good at.
Don’t blame the victims, blame the scammers selling LLMs as anything other than fancy but useless toys.
Did you get scammed by the LLM? If not, what’s the difference between you and the dev you mentioned?
I was lucky enough to not have access to LLMs when I was learning to code.
Plus, over the years I’ve developed a good thick protective shell (or callus) of cynicism, spite, distrust, and absolute seething hatred towards anything involving computers, which younger developers yet lack.
Sorry, you misunderstood my comment, which was very badly worded.
I meant to imply that you, an experienced developer, didn’t get “scammed” by the LLM, and that the difference between you and the dev you mentioned is that you know how to program.
I was trying to make the point that the issue is not the LLM but the developer using it.
And I’m saying that I could have been that developer if I were twenty years younger.
They’re not bad developers, they just haven’t yet been hurt enough to develop protective mechanisms against scams like these.
They are not the problem. The scammers selling the LLM’s as something they’re not are.
Places GPT-based “AI” next to flying cars
Flying cars exist, they’re just not cost effective. AFAICT there’s no GPT that is proficient at coding yet.
It’s a lot easier to access ChatGPT than it is to access a flying car
The more people using chatgpt to generate low quality code they don’t understand, the more job safety and greater salary I get.
As far as I know, right now the main problem with flying cars is that they are nowhere near as idiot-proof as a normal car, and don’t really solve any transportation problem since most countries’ air regulations agencies would require them to exclusively take off and land in airports… Where you can usually find tons of planes that can go much further (and are much more cost effective, as you pointed out)
Yep, by definition generative AI gets worse the more specific you get. If you need common templates though, it’s almost as good as today’s google.
… which is not a high bar.
Judging this article by it’s title (refuse to click). Calling BS. ChatGPT has been a game changer for me personally
